Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
2777
Single Precision Score
2765
Half Precision Score
5039
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | evariste |
| Upload Date | February 15 2025 07:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998B |
| Motherboard | exynos2100 |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 97 architecture 8 variant 0 part 0 revision 0 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (Q)
|
100% |
4092
760.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4486
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5635
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5646
6.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
9208
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (Q)
|
83% |
3751
303.0 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (Q)
|
95% |
9314
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4311
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4225
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
8773
80.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9805
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9784
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20059
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3134
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3199
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5307
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (Q)
|
88% |
1849
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1037
36.8 IPS |
